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cs.CL2025
Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset
Nick Rossenbach, Robin Schmitt, Tina Raissi +3
The recently published Loquacious dataset aims to be a replacement for established English automatic speech recognition (ASR) datasets such as LibriSpeech or TED-Lium. The main goa…
cs.CL2024
On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures
Benedikt Hilmes, Nick Rossenbach, and Ralf Schlüter
In this work we evaluate the utility of synthetic data for training automatic speech recognition (ASR). We use the ASR training data to train a text-to-speech (TTS) system similar…
cs.CL2024
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition
Nick Rossenbach, Ralf Schlüter, Sakriani Sakti
The rapid development of neural text-to-speech (TTS) systems enabled its usage in other areas of natural language processing such as automatic speech recognition (ASR) or spoken la…